Author: Massachusetts. Metropolitan Area Planning CouncilPublisher:
ISBN:
Category : Computer simulation
Languages : en
Pages : 90
Book Description
Pavement Management Forecasting Model
Author: Massachusetts. Metropolitan Area Planning CouncilPublisher:
ISBN:
Category : Computer simulation
Languages : en
Pages : 90
Book Description
Pavement Forecasting Models
Author: Eddie ChouPublisher:
ISBN:
Category : Markov processes
Languages : en
Pages : 222
Book Description
The primary objectives of this study were to develop models to forecast future pavement conditions and to determine remaining service life of pavements based on the forecasted conditions. Based on available data in the ODOT pavement database, which contains the condition history of each pavement section, along with its location, year of construction, thickness, materials used, climate, and rehabilitation records, individual regression, family regression, and Markov probabilistic models were developed . For the latter two models, pavements were first grouped into "families" with similar characteristics, based on pavement type, priority, District location, and past performance. Forecasting models were then developed for each such "family." The developed models were evaluated by comparing the predicted conditions with the actual observed conditions for the five year period between 2001 and 2005. The Markov model was found to have the highest overall prediction accuracy among all the models evaluated, and it can also predict future distresses in addition to the PCR values. As a result of this study, ODOT can forecast future pavement conditions and estimate the remaining service life of pavements. Future rehabilitation needs can also be determined. Such capabilities will significantly benefit planning and management decision-makings at both project and network levels
Punxsutawney Centennial, 1849-1949
Author: Pavement Management Methodologies to Select Projects and Recommend Preservation Treatments
Author: Kathryn A. ZimmermanPublisher: Transportation Research Board
ISBN: 9780309058667
Category : Technology & Engineering
Languages : en
Pages : 108
Book Description
This synthesis will be of interest to highway administrators; pavement management system (PMS), maintenance, and computer engineers; and technologists involved with data collection and computer programming for the purposes of a PMS. This synthesis describes the state of the practice with respect to pavement management methodologies to select projects and recommend preservation treatments. This report of the Transportation Research Board also describes the predominant pavement management methodologies being used by U.S. state and Canadian provincial transportation agencies; provides a general description of each methodology; and summarizes the requirements, benefits, hindrances, and constraints associated with each. It includes a review of domestic literature and a survey of current practices in North America. In addition, case studies are included to illustrate the use of these methodologies within transportation agencies. Operational and soon-to-be implemented technologies are also discussed, and an extensive bibliography is provided for further reference.
Multiple Random Slope and Fixed Intercept Linear Regression Models for Pavement Condition Forecasting
Author: Xiaojun LinPublisher:
ISBN:
Category : Forecasting
Languages : en
Pages : 94
Book Description
Pavement condition forecasting plays an important role in pavement management. Accurate predictions can help pavement managers in making optimal management plans which keeps the pavements in serviceable conditions over a specific period, as well as saves costs that are spent in the pavement maintenance and rehabilitation. In general, there are two types of prediction methods for pavement condition, which are probabilistic approach and deterministic approach. Probabilistic approach has its advantage in large scale pavement network’s overall condition predictions, it focuses on the whole pavement network condition forecasting and provides prediction results in distributions manner. Deterministic approach has its advantage in small pavement section scale predictions; it focuses on specific pavement sections condition forecasting and is able to provide the result of specific pavement section’s condition. This paper attempts to develop a deterministic forecasting approach which not only utilizes the advantage of deterministic approach that is able to provide specific pavement section condition prediction, but also attempts to adopt the advantage of probabilistic approach, which considers the effects that might have universal influence on a pavement network’s overall condition. After model simulations, the approach finally obtained on making pavement condition forecasting in this study is a random slope and fixed intercept linear regression approach. Each pavement section is assigned with a specific slope and specific intercept based on its categorical variable values and numerical variable values. The effectiveness of the obtained models is checked by comparing their predictions with the predictions through the existing prediction program ODOTPMIS.
Development of Pavement Condition Forecasting for Web-based Asset Management for County Governments
Author: Bradley WentzPublisher:
ISBN:
Category : Geographic information systems
Languages : en
Pages : 18
Book Description
This application was developed to expand a low-cost asset inventory program called Geographic Roadway Inventory Tool (GRIT) to include roadway forecasting based on the American Association of State Highway and Transportation Officials (AASHTO) 93 model with inventory, pavement condition, and traffic forecasting data. Existing input data from GRIT such as pavement thickness, roadway structural information, and construction planning information will be spatially combined with current MnDOT Pathway pavement condition and traffic data to automatically forecast the future condition and age of roadways using the AASHTO 93 model. This forecasting model will allow roadway managers to use this information with comprehensive geographic information system (GIS) web maps to prioritize roadways in their construction schedules or multi-year plans.
Development of Pavement Condition Forecasting Models
Author: Haricharan PulugurtaPublisher:
ISBN:
Category : Forecasting
Languages : en
Pages : 364
Book Description
Pavement Management Implementation
Author: Frank B. HoltPublisher: ASTM International
ISBN: 0803114214
Category : Nondestructive testing
Languages : en
Pages : 508
Book Description
Modern Pavement Management
Author: Ralph HaasPublisher:
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 682
Book Description
Focusing on the process of pavement management, this text covers topics such as data acquisition and evaluation, network level priority programming and project level design. Examples of working systems are provided, as well as guidance for implementation.
Author: